CN109580007A - A kind of computer room cold passage microenvironment solid heating power distribution monitoring system and control method - Google Patents
A kind of computer room cold passage microenvironment solid heating power distribution monitoring system and control method Download PDFInfo
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Abstract
The present invention relates to a kind of computer room cold passage microenvironment solid heating power distribution monitoring systems, it is characterised in that: system includes several temperature collecting modules, data transmission module and background work station；The temperature collecting module includes holder and the low resolution infrared thermal imager that is arranged on holder；The data transmission module includes fiber optic network, optical transmitter and receiver and several adapters；The optical transmitter and receiver receives to come from front end low resolution infrared thermal imager and holder data-signal, and carries out being transmitted to background work station by fiber optic network.The present invention uses the infrared thermovision module of low resolution, is based on machine learning deep analysis algorithm, the characteristic value of the temperature data of depth extraction acquisition, and be converted into three-dimensional heating power distribution map, can effectively be measured in real time to temperature.
Description
Technical field
The present invention relates to temperature monitoring fields, and in particular to a kind of computer room cold passage microenvironment solid heating power distribution monitoring system
System and control method.
Background technique
With gradually going deep into for information-based construction, IDC(Internet Data Center, Internet data center) machine
The quantity and scale in room are also constantly expanding.The management and operation of computer room are particularly important, especially the variation of building environment,
Extremely serious consequence exactly often will cause to the carelessness of environmental change, if as somewhere environment temperature is excessively high without sending out in time
It is existing, it is likely that cabinet failure is caused to even result in entire data center's paralysis.Therefore computer room cabinet cold passage microenvironment
Thermal monitoring has vital meaning to equipment operation maintenance.
Presently, it is checked in shifts for most of cold passage environmental monitoring of computer room or using artificial 24 hours
Mode, equipment of periodically patrolling, this mode have not only aggravated the burden of staff, can not also exclude in time when more different
Reason condition, it is more likely that cause the accident.Thermal monitoring is most suitable mode with thermal imaging system at present, but since it is excessively high
It is expensive, a large amount of deployment can not be carried out in computer room realize real-time monitoring.Therefore also it is badly in need of a kind of low cost, high efficiency, Gao Zhineng at present
Real time on-line monitoring system, to computer room cold passage microenvironment heating power be distributed real-time monitoring.
Currently, computer room thermometry generally mostly uses the technology of single-point thermometric, this technology is cold to computer room logical to realize
The distribution monitoring of road solid heating power, then must largely be disposed, and multipoint acquisition temperature data, therefore the prior art are carried out
It is to be badly in need of a kind of can be realized to the technology for acquiring data in three-dimensional surface.And existing infrared technique is widely used, but
It is there are still problems, existing infrared technique is mostly based on high resolution sensor, and not only deployment is difficult in this way, also increases
Addition sheet.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of computer room cold passage microenvironment solid heating power distribution monitoring systems
And control method, realize real-time, efficient, the intelligent on-line monitoring to computer room.
To achieve the above object, the present invention adopts the following technical scheme:
A kind of computer room cold passage microenvironment solid heating power distribution monitoring system, system include several temperature collecting modules, data biography
Defeated module and background work station；The temperature collecting module includes holder and the low resolution infrared thermal imaging that is arranged on holder
Instrument；The data transmission module includes fiber optic network, optical transmitter and receiver and several adapters；The optical transmitter and receiver receives low from front end
Resolution ratio infrared thermal imager and holder data-signal, and carry out being transmitted to background work station by fiber optic network.
Further, the background work station is made of the network switch and database.
Further, the holder use can 360 ° of universal turning bench rotated.
A kind of control method of computer room cold passage microenvironment solid heating power distribution monitoring system, which is characterized in that including with
Lower step:
Step S1: low resolution infrared thermal imager acquires the comprehensive heating power image data of cold passage；
Step S2: optical transmitter and receiver receives the heating power data acquired from front end low resolution infrared thermal imager, passes through fiber optic network
It carries out being transmitted to background work station;
Step S3: background work station carries out image conversion based on heating power data of the machine learning algorithm to acquisition, is translated into
Infrared thermodynamic chart, and noise reduction process is done to it by filtering algorithm, in the database by data storage after processing；
Step S4: infrared thermodynamic chart is handled by resolution enhancement algorithm, obtains enhanced heating power image data；
Step S5: according to enhanced heating power image data, constructing three-dimensional space heating power distribution map by BIM visualization system,
And store three-dimensional space heating power distribution map to database, comprehensive monitoring building environment can be realized with real-time calling.
Further, the resolution enhancement algorithm specifically:
Step S31: object pixel is set as (i, j), the neighborhood pixels coordinate of initial value 0, original image is (x, y), according to original
Image data obtains the high h and width w of original image, and according to the Sx and Sy reciprocal of scaling, the height of target image is calculated
And width, wg=w/Sx；hg=w/Sy;
Step S32: the value of initial value i is less than width wg, and to laterally once being scaled, j adds 1, and so circulation is until j
It is unsatisfactory for condition, i.e. j >=width wg；At this point, the value of i starts to add 1, as i < height hg, longitudinal scaling is carried out, such as
This is recycled to i and is unsatisfactory for condition, i.e., when the value of i is equal to hg, exports the target image scaled out;
Step S33: calculating corresponding horizontal and vertical offset fu and fv during horizontal and vertical scaling,
And memory first address where the row: original initial address+(int) (i*Sy) * (width of data line);
Lateral 4 points of the address of each row are as follows: each start of line address+(int) (i*Sy) * (byte number of a pixel) is found out to be inserted
The position of value;
Step S34: a spatial cache is set to store horizontal and vertical offset of adjacent 16 pixels relative to source pixel
Amount acquires the interpolation coefficient (weight) of bi-cubic interpolation according to sin C basic function and by calculating as formula:
1/6× [(x + 2)3 - 4.0 × (x + 1)3 + 6.0 × x3 - 4.0 ×(x - 1)3]
When carrying out laterally scaling, multiplying accumulating for four taps and coefficient of correspondence is horizontally carried out, has been scaled when laterally
Cheng Hou, then longitudinal tap and its coefficient are multiplied accumulating;
Step S5: treated value is exported.
Further, the database uses the database purchase scheme of SQLServer.
Further, the history three-dimensional space heating power distribution map number that the background work station can also access in called data library
According to, it is based on machine learning algorithm, predicts heating power tendency, specifically:
Step S51: it is trained using parameter of the particle swarm algorithm PSO to limit learning neural network ELM and obtains optimal ginseng
Number;
Step S52: ELM limit learning neural network prediction model is established according to the optimal value of the parameter that PSO training obtains, by history
Heating power data is input in neural network prediction model as the training set of neural network, and training obtains final neural network mould
Type;
Step S53: final neural network model is predicted according to current heating power data and exports the heating power of the following computer room cold passage
Temperature tendency.
Compared with the prior art, the invention has the following beneficial effects:
1. the present invention uses the infrared thermovision module of low resolution, it is based on machine learning deep analysis algorithm, depth extraction acquisition
Temperature data characteristic value, and be converted into three-dimensional heating power distribution map, accuracy surmounts high-resolution module significantly and adopted
The data of collection, meanwhile, and can largely save the cost of arrangement；
2. the present invention proposes in the optimization of computer lab management based on PSO-ELM neural network prediction model, can be realized pair
The training study of historical temperature data accurately makes a prediction to the heating power distribution of computer room cold passage, and root is it was predicted that right in time
Air-conditioning makes corresponding adjustment, realizes comprehensive, real-time, accurate, the intelligent management of computer room.
Detailed description of the invention
Fig. 1 is front-end probe control structure schematic diagram in the embodiment of the present invention；
Fig. 2 is overall system architecture schematic diagram in the embodiment of the present invention；
Fig. 3 is that bi-cubic interpolation enhances techniqueflow chart in the embodiment of the present invention；
Fig. 4 is PSO-ELM prediction algorithm flow chart in the embodiment of the present invention；
Fig. 5 is hardware structural diagram of popping one's head in the embodiment of the present invention；
Fig. 6 is operation schematic diagram in the embodiment of the present invention；
Fig. 7 is hardware arrangement schematic diagram in the embodiment of the present invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
Fig. 1 is please referred to, the present invention provides a kind of computer room cold passage microenvironment solid heating power distribution monitoring system, and system includes
Several temperature collecting modules, data transmission module and background work station；The temperature collecting module includes holder and is arranged in cloud
Low resolution infrared thermal imager on platform；The data transmission module includes fiber optic network, optical transmitter and receiver and several adapters；
The optical transmitter and receiver receives to come from front end low resolution infrared thermal imager and holder data-signal, and is carried out by fiber optic network
It is transmitted to background work station.It is infrared that several low resolution are disposed in the cold passage of computer room by the way of 3 D stereo distribution
Thermal imaging system, while each low resolution infrared thermal imager carries the universal turning bench and its cloud of achievable 360 ° of rotations
Platform controller.Holder is calibrated by backstage PC control center and be arranged data acquisition position several, on
Position machine sends order control holder and infrared thermal sight is turned to corresponding position according to preset position, realizes 360 ° omni-directional
Heating power data acquisition.
As shown in Fig. 2, sending background control platform by web-transporting device for collected a large amount of heating power data.Afterwards
Platform server carries out image conversion based on heating power data of the machine learning algorithm to acquisition, is translated into infrared thermodynamic chart, and
Noise reduction process is done to it by filtering algorithm.Data after processing are stored in SQL database so that administrative staff can be with
History heating power data is accessed at any time.Image after noise reduction process is again through deep learning network and RET, by 64
The low-resolution image of position is extended to high-definition picture.BIM visualization system is designed and developed simultaneously, is based on deep learning algorithm
It is 3 D stereo heating power distribution map by picture construction, and to intelligent data analysis, generates the control signal of air conditioner in machine room, pass through
PLC control is changed with the heating power for adjusting building environment.
In the present embodiment, low resolution infrared thermal imager specifically includes low resolution infrared thermal imaging sensor, MCU most
Mini system, power supply module etc..MCU is communicated using IIC interface with low resolution infrared thermal imaging sensor, can also be sensed to thermal imagery
Device is configured, and is allowed to issue interrupt signal from trend MCU when meeting the temperature threshold of setting.Module hardware structure chart is as schemed
Shown in 5.Low resolution infrared thermal imager is mounted in above the holder module of the universal wheel of achievable multi-angle rotation, cooperates cloud
Platform controller, cradle head control module and infrared module share a bus plane, are powered simultaneously by power module.Between module mutually
Communication, co-ordination avoid repeated measures to some region of temperature data, and intermodule mutually sends data, and by data and
Holder angle is sent to host computer, and host computer is adjusted the angle of observation, multi-faceted acquisition data.
In the present embodiment, low resolution infrared thermal imager uses three that ZigBee ad hoc network intermodule mutually communicates
Dimension control layout type.In the space of computer room cold passage, 3 front-end probe modules are at least arranged in fixed position, are laid out work
Make schematic diagram as shown in fig. 6,3 sensing modules can cover entire three-dimensional space, by three modules, sees from different angles
It surveys.It is communicated between module using ZigBee, the observation angle of modules, which matches to postpone, acquires modules by master controller again
Data and observation angle, be finally sent to server-side.Core point is, using the module of measurement two-dimensional surface temperature data,
Using three-dimensional layout's mode, intermodule is mutually communicated, and is connected each other, co-ordination, and the temperature data of gamut is acquired.
A kind of control method of computer room cold passage microenvironment solid heating power distribution monitoring system, which is characterized in that including with
Lower step:
Step S1: low resolution infrared thermal imager acquires the comprehensive heating power image data of cold passage；
Step S2: optical transmitter and receiver receives the heating power data acquired from front end low resolution infrared thermal imager, passes through fiber optic network
It carries out being transmitted to background work station;
Step S3: background work station carries out image conversion based on heating power data of the machine learning algorithm to acquisition, is translated into
Infrared thermodynamic chart, and noise reduction process is done to it by filtering algorithm, in the database by data storage after processing；
Step S4: infrared thermodynamic chart is handled by resolution enhancement algorithm, obtains enhanced heating power image data；
Step S5: according to enhanced heating power image data, constructing three-dimensional space heating power distribution map by BIM visualization system,
And store three-dimensional space heating power distribution map to database, comprehensive monitoring building environment can be realized with real-time calling.
In the present embodiment, resolution enhancement algorithm can use bi-cubic interpolation algorithm or cubic spline interpolation algorithm,
The bi-cubic interpolation algorithm specifically:
Step S31: object pixel is set as (i, j), the neighborhood pixels coordinate of initial value 0, original image is (x, y), according to original
Image data obtains the high h and width w of original image, and according to the Sx and Sy reciprocal of scaling, the height of target image is calculated
And width, wg=w/Sx；hg=w/Sy;
Step S32: the value of initial value i is less than width wg, and to laterally once being scaled, j adds 1, and so circulation is until j
It is unsatisfactory for condition, i.e. j >=width wg；At this point, the value of i starts to add 1, as i < height hg, longitudinal scaling is carried out, such as
This is recycled to i and is unsatisfactory for condition, i.e., when the value of i is equal to hg, exports the target image scaled out;
Step S33: calculating corresponding horizontal and vertical offset fu and fv during horizontal and vertical scaling,
And memory first address where the row: original initial address+(int) (i*Sy) * (width of data line);
Lateral 4 points of the address of each row are as follows: each start of line address+(int) (i*Sy) * (byte number of a pixel) is found out to be inserted
The position of value;
Step S34: a spatial cache is set to store horizontal and vertical offset of adjacent 16 pixels relative to source pixel
Amount acquires the interpolation coefficient (weight) of bi-cubic interpolation according to sin C basic function and by calculating as formula:
1/6× [(x + 2)3 - 4.0 × (x + 1)3 + 6.0 × x3 - 4.0 ×(x - 1)3]
When carrying out laterally scaling, multiplying accumulating for four taps and coefficient of correspondence is horizontally carried out, has been scaled when laterally
Cheng Hou, then longitudinal tap and its coefficient are multiplied accumulating;
Step S5: treated value is exported.
In the present embodiment, the database uses the database purchase scheme of SQLServer.
In the present embodiment, the history three-dimensional space heating power distribution that the background work station can also access in called data library
Diagram data is based on machine learning algorithm, predicts heating power tendency, specifically:
Step S51: it is trained using parameter of the particle swarm algorithm PSO to limit learning neural network ELM and obtains optimal ginseng
Number;
Step S52: ELM limit learning neural network prediction model is established according to the optimal value of the parameter that PSO training obtains, by history
Heating power data is input in neural network prediction model as the training set of neural network, and training obtains final neural network mould
Type;
Step S53: final neural network model is predicted according to current heating power data and exports the heating power of the following computer room cold passage
Temperature tendency.
The infrared thermal sight of the low resolution such as including but not limited to 8*8, low cost is applied to computer room heating power by the present invention
In control, deep learning arithmetic analysis data are based on, not only realize that high-resolution sensor can achieve the effect that, compared to city
A large amount of high-resolution thermal sights on face, are greatly saved the cost of deployment.In addition, realizing the heating power distribution of computer room based on BIM
Visualization in real time mentions the cold passage environment thermal monitoring of computer room in conjunction with artificial intelligence analytic technique for computer room operation and management
Reliable guarantee is supplied.
The foregoing is merely presently preferred embodiments of the present invention, all equivalent changes done according to scope of the present invention patent with
Modification, is all covered by the present invention.
Claims (7)
1. a kind of computer room cold passage microenvironment solid heating power distribution monitoring system, it is characterised in that: system includes that several temperature are adopted
Collect module, data transmission module and background work station；The temperature collecting module includes holder and be arranged on holder low point
Resolution infrared thermal imager；The data transmission module includes fiber optic network, optical transmitter and receiver and several adapters；The optical transmitter and receiver
Receive to come from front end low resolution infrared thermal imager and holder data-signal, and carries out being transmitted to backstage by fiber optic network
Work station.
2. a kind of computer room cold passage microenvironment solid heating power distribution monitoring system according to claim 1, it is characterised in that:
The background work station is made of the network switch and database.
3. a kind of computer room cold passage microenvironment solid heating power distribution monitoring system according to claim 1, it is characterised in that:
The holder uses can 360 ° of universal turning bench rotated.
4. a kind of control method of computer room cold passage microenvironment solid heating power distribution monitoring system, which is characterized in that including following
Step:
Step S1: low resolution infrared thermal imager acquires the comprehensive heating power image data of cold passage；
Step S2: optical transmitter and receiver receives the heating power data acquired from front end low resolution infrared thermal imager, passes through fiber optic network
It carries out being transmitted to background work station;
Step S3: background work station carries out image conversion based on heating power data of the machine learning algorithm to acquisition, is translated into
Infrared thermodynamic chart, and noise reduction process is done to it by filtering algorithm, data after processing are stored in SQL database；
Step S4: infrared thermodynamic chart is handled by resolution enhancement algorithm, obtains enhanced heating power image data；
Step S5: according to enhanced heating power image data, constructing three-dimensional space heating power distribution map by BIM visualization system,
And store three-dimensional space heating power distribution map to database, comprehensive monitoring building environment can be realized with real-time calling.
5. a kind of control method of computer room cold passage microenvironment solid heating power distribution monitoring system according to claim 4,
It is characterized by: the resolution enhancement algorithm specifically:
Step S31: object pixel is set as (i, j), the neighborhood pixels coordinate of initial value 0, original image is (x, y), according to original
Image data obtains the high h and width w of original image, and according to the Sx and Sy reciprocal of scaling, the height of target image is calculated
And width, wg=w/Sx；hg=w/Sy;
Step S32: the value of initial value i is less than width wg, and to laterally once being scaled, j adds 1, and so circulation is until j
It is unsatisfactory for condition, i.e. j >=width wg；At this point, the value of i starts to add 1, as i < height hg, longitudinal scaling is carried out, such as
This is recycled to i and is unsatisfactory for condition, i.e., when the value of i is equal to hg, exports the target image scaled out;
Step S33: calculating corresponding horizontal and vertical offset fu and fv during horizontal and vertical scaling,
And memory first address where the row: original initial address+(int) (i*Sy) * (width of data line);
Lateral 4 points of the address of each row are as follows: each start of line address+(int) (i*Sy) * (byte number of a pixel) is found out to be inserted
The position of value;
Step S34: a spatial cache is set to store horizontal and vertical offset of adjacent 16 pixels relative to source pixel
Amount acquires the interpolation coefficient (weight) of bi-cubic interpolation according to sin C basic function and by calculating as formula:
1/6× [(x + 2)3 - 4.0 × (x + 1)3 + 6.0 × x3 - 4.0 ×(x - 1)3]
When carrying out laterally scaling, multiplying accumulating for four taps and coefficient of correspondence is horizontally carried out, has been scaled when laterally
Cheng Hou, then longitudinal tap and its coefficient are multiplied accumulating;
Step S5: treated value is exported.
6. a kind of control method of computer room cold passage microenvironment solid heating power distribution monitoring system according to claim 4,
It is characterized by: the database uses the database purchase scheme of SQLServer.
7. a kind of control method of computer room cold passage microenvironment solid heating power distribution monitoring system according to claim 4,
It is characterized by: the history three-dimensional space heating power distribution map data that the background work station can also access in called data library, base
In machine learning algorithm, heating power tendency is predicted, specifically:
Step S51: it is trained using parameter of the particle swarm algorithm PSO to limit learning neural network ELM and obtains optimal ginseng
Number;
Step S52: ELM limit learning neural network prediction model is established according to the optimal value of the parameter that PSO training obtains, by history
Heating power data is input in neural network prediction model as the training set of neural network, and training obtains final neural network mould
Type;
Step S53: final neural network model is predicted according to current heating power data and exports the heating power of the following computer room cold passage
Temperature tendency.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110426127A (en) * | 2019-08-20 | 2019-11-08 | 剑科云智(深圳)科技有限公司 | The monitoring method of a kind of power distribution cabinet and its stamper, system, loss monitoring method |
| CN113950403A (en) * | 2019-06-11 | 2022-01-18 | 惠普发展公司，有限责任合伙企业 | Adaptive manufacturing simulation |
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